Hands on with Plato: Train your Own Conversational Agent from Scratch
Chandra Khatri is a Senior AI Research Scientist at Uber AI driving Conversational and Multi-modal efforts at Uber. Prior to Uber, he was the Lead AI Scientist at Alexa and was driving the Science for the Alexa Prize Competition, which is a $3.5 Million university competition for advancing the state of Conversational AI. Some of his recent work involves Multi-modal and Embodied Understanding, Common sense and Semantic Understanding, Natural Language and Speech Processing, Open-domain Dialog Systems, and Deep Learning.
Prior to Alexa, Chandra was a Research Scientist at eBay, wherein he led various Deep Learning and NLP initiatives such as Automatic Text Summarization and Automatic Content Generation within the eCommerce domain, which has lead to significant gains for eBay. He holds degrees in Machine Learning and Computational Science & Engineering from Georgia Tech and BITS Pilani.
Alex is a Sr. Research Scientist at Uber AI, on the Conversational AI team; his interests include statistical dialogue management, natural language processing, and human-machine social interactions. Prior to Uber, he was with Toshiba Research Europe, leading the Cambridge Research Lab team on Statistical Spoken Dialogue. Before joining Toshiba, he was a post-doctoral fellow at CMU's Articulab, working with Justine Cassell on designing and developing the next generation of socially-skilled virtual agents. He received his PhD from the University of Texas at Arlington, MSc from University College London, and BSc from the University of Athens.